Document of bibliographic reference 247864

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Classifying degrees of species commonness: North Sea fish as a case study
Abstract
Species commonness is often related to abundance and species conservation status. Intuitively, a “common species” is a species that is abundant in a certain area, widespread and at low risk of extinction. Analysing and classifying species commonness can help discovering indicators of ecosystem status and can prevent sudden changes in biodiversity. However, it is challenging to quantitatively define this concept. This paper presents a procedure to automatically characterize species commonness from biological surveys. Our approach uses clustering analysis techniques and is based on a number of numerical parameters extracted from an authoritative source of biodiversity data, i.e. the Ocean Biogeographic Information System. The analysis takes into account abundance, geographical and temporal aspects of species distributions. We apply our model to North Sea fish species and show that the classification agrees with independent expert opinion although sampling biases affect the data. Furthermore, we show that our approach is robust to noise in the data and is promising in classifying new species. Our method can be used in conservation biology, especially to reduce the effects of the sampling biases which affect large biodiversity collections.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000358469200025
Bibliographic citation
Coro, G.; Webb, T.J.; Appeltans, W.; Bailly, N.; Cattrijsse, A.; Pagano, P. (2015). Classifying degrees of species commonness: North Sea fish as a case study. Ecol. Model. 312: 272-280. dx.doi.org/10.1016/j.ecolmodel.2015.05.033
Topic
Marine
Is peer reviewed
true

Authors

author
Name
Gianpaolo Coro
author
Name
Thomas Webb
Identifier
https://orcid.org/0000-0003-3183-8116
author
Name
Ward Appeltans
Affiliation
UNESCO; Intergovernmental Oceanographic Commission
author
Name
Nicolas Bailly
author
Name
André Cattrijsse
Identifier
https://orcid.org/0000-0003-0772-3087
Affiliation
Vlaams Instituut voor de Zee
author
Name
Pasquale Pagano

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.ecolmodel.2015.05.033
referenced creativework
type
Additional info
accessURL
www.sciencedirect.com/science/MiamiMultiMediaURL/1-s2.0-S0304380015002392/1-s2.0-S0304380015002392-mmc1.xlsx/271743/html/S0304380015002392/8b4c67195c4b5b8f2695711a8cde478d/mmc1.xlsx
referenced creativework
type
Additional info
accessURL
www.sciencedirect.com/science/MiamiMultiMediaURL/1-s2.0-S0304380015002392/1-s2.0-S0304380015002392-mmc2.csv/271743/html/S0304380015002392/1d88a28338e0e2134550add827fef49a/mmc2.csv

Document metadata

date created
2015-06-17
date modified
2017-03-08